Triple
T18986771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella |
E464576
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bandarawela |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bandarawela | Statement: [Ella, near, Bandarawela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bandarawela Context triple: [Ella, near, Bandarawela]
-
A.
Bandarawela
chosen
Bandarawela is a cool-climate hill town in Sri Lanka known for its tea plantations, scenic mountain landscapes, and colonial-era charm.
-
B.
Maharagama
Maharagama is a suburban city in the Colombo District of Sri Lanka, known as a densely populated residential and commercial hub within the Colombo metropolitan area.
-
C.
Bandaranaike
Bandaranaike is a prominent Sri Lankan political family best known for producing multiple prime ministers, including the world's first female prime minister, Sirimavo Bandaranaike.
-
D.
Seethawaka
Seethawaka is a historically significant town and administrative area in Sri Lanka’s Western Province, known for its role in the 16th-century Seethawaka kingdom and its lush, hilly landscape.
-
E.
Kalutara
Kalutara is a major coastal town in western Sri Lanka, known for its historic Buddhist temple, scenic beaches, and role as a regional commercial hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d660835c8190bedd78590b3e0a7e |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.